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Artificial Intelligence with Python Cookbook

You're reading from   Artificial Intelligence with Python Cookbook Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781789133967
Length 468 pages
Edition 1st Edition
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Authors (2):
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Ritesh Kumar Ritesh Kumar
Author Profile Icon Ritesh Kumar
Ritesh Kumar
Ben Auffarth Ben Auffarth
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Ben Auffarth
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Artificial Intelligence in Python 2. Advanced Topics in Supervised Machine Learning FREE CHAPTER 3. Patterns, Outliers, and Recommendations 4. Probabilistic Modeling 5. Heuristic Search Techniques and Logical Inference 6. Deep Reinforcement Learning 7. Advanced Image Applications 8. Working with Moving Images 9. Deep Learning in Audio and Speech 10. Natural Language Processing 11. Artificial Intelligence in Production 12. Other Books You May Enjoy
Patterns, Outliers, and Recommendations

In order to gain knowledge from data, it's important to understand the structure behind a dataset. The way we represent a dataset can make it more intuitive to work with in a certain way, and consequently, easier to draw insights from it. The law of the instrument states that when holding a hammer, everything seems like a nail (based on Andrew Maslow's The Psychology of Science, 1966) and is about the tendency to adapt jobs to the available tools. There is no silver bullet, however, as all methods have their drawbacks given the problem at hand. It's therefore important to know the basic methods in the arsenal of available tools in order to recognize the situations where we should use a hammer as supposed to a screwdriver.

In this chapter, we'll look at different ways of representing data, be it visualizing customer groups...

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